Balance evaluation of passenger car interior noise — evaluation of sound components of passenger car interior noise

JSAE Review ◽  
1995 ◽  
Vol 16 (3) ◽  
pp. 326 ◽  
Author(s):  
H Hoshino
2013 ◽  
Vol 712-715 ◽  
pp. 2865-2869
Author(s):  
Li Fang Yang ◽  
Fan Yu Meng ◽  
Bo Kang

In order to analyze the noise properties and promote the sound comfort of the high-speed train, the noise samples are collected in passengers cars, dining cars and car joint parts at different speeds. By means of 18 sound samples, the psychoacoustic parameters of the high-speed train are discussed. Before calculation of other psychoacoustic properties, the calculation method of loudness must be properly chosen through analysis of all loudness calculation method. In the paper, the Filter/ISO 532B method is selected to obtain the loudness of the high-speed train and based on the loudness; other psychoacoustic properties are obtained and analyzed. The discussion of psychoacoustic properties is the basis of further noise evaluation and control of high-speed trains.


2000 ◽  
Vol 2000.2 (0) ◽  
pp. 131-132
Author(s):  
Yoshinobu Kamada ◽  
Hiroyuki Seino ◽  
Qinzhong Shi ◽  
Shinya Aoyama ◽  
Ichiro Hagiwara

Author(s):  
Dylan Horne ◽  
Hisham Jashami ◽  
Christopher M. Monsere ◽  
Sirisha Kothuri ◽  
David S. Hurwitz

Rumble strips (RS) are a countermeasure used to reduce roadway-departure crashes by providing audible and haptic alerts to the driver when a vehicle is departing the roadway. This study evaluated the feasibility of using sinusoidal RS as a substitute for more traditional rounded RS. A van, a passenger car, and a heavy vehicle were equipped with sound and vibration sensors to measure the interior noise and haptic feedback of each RS design. A set of typical conditions (with interior climate control fan and radio turned on) were also tested. Data from 75 RS strikes were analyzed. Experimental results demonstrated that the rounded RS doubled interior noise for the passenger car and van (11.3 dBA, 10.0 dBA) but the sinusoidal RS also generated a clearly noticeable interior alert for the passenger car and van (5.8 dBA, 4.6 dBA). The haptic alert provided an increase over the human perception threshold of vibration for all vehicles. The sinusoidal RS interior alert was detectable and within the acceptable range, but not clearly noticeable (5 dBA) when the climate control and radio were active. Alert levels for the rounded RS were >10 dBA, doubling the amount of interior noise for all ambient factor groups (11.2–14.4 dBA).


1997 ◽  
Vol 119 (3) ◽  
pp. 304-310 ◽  
Author(s):  
A. T. M. J. M. Huizinga ◽  
D. H. van Campen ◽  
A. de Kraker

A practical application of hybrid FRF-coupling (Frequency Response Function) in the development of a passenger car is presented. First, a short review is given about FRF-coupling in general. Next, some problems are discussed which may be encountered when both analytical and experimental FRF-data is used in FRF-coupling. This is also known as hybrid modelling. The main part of this paper presents a successful application of hybrid FRF-coupling to analyze and solve an interior noise problem of a passenger car. Both analytical and experimental FRFs were used to create a hybrid dynamic model of a complete passenger car. The engine and its suspension system were modelled using finite elements, while the remainder of the car was modelled by experimentaly derived FRFs. This hybrid model was then used to compute the response of the vehicle due to the engine excitation. Measured noise transfer function were used next to compute the interior sound pressure level using forced response results of the hybrid car model. Subsequently, the hybrid model was used to analyze the problem, and to predict the effects of an alternative design of the engine suspension on interior noise. Numerical results indicated that the alternative design would have a significant positive effect on noise. This was confirmed by verification measurements on a car.


2021 ◽  
Vol 22 (4) ◽  
pp. 921-929
Author(s):  
Yawei Zhu ◽  
Chihua Lu ◽  
Zhien Liu ◽  
Liping Xie ◽  
Xiaolong Li

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